Research Area: Computer Vision

The goal of computer vision is to extract information from visual data and help computers understand the visual world. Vision algorithms increasingly impact our everyday lives. They help to keep cars safely on the road, enable remote robotics operations in hazardous environments, reconstruct 3D models of cities, and organize photo collections, both personal and across the web.

Subareas: Geometric Vision, Language & Vision, Recognition

The research in computer vision at UNC spans the breadth of the field, and is a fertile ground for collaborations bringing together geometry and recognition, computer vision and natural language, sensing and display devices, theory, and system architectures for vision processing.
The goal of the Language and Vision group is to develop a better understanding of the relationship between people, their visual data, and the language they use to describe that data. In particular, this includes developing methods to: describe images or video using natural language, predict how a person will refer to specific objects in complex real-world scenes, and answer natural language questions about images. The group also works on problems related to understanding what our pictures reveal about ourselves. Tasks include clothing and style recognition and are applied to clothing recognition and other e-commerce-related problems.

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